Call for Papers
The Mod4Sim workshop fosters original research contributions that address the use of model-driven approaches in the simulation engineering field.
The use of model-driven approaches can be exploited in the simulation field to increase the level of abstraction of simulation models and to automate the series of steps that have to be carried out to obtain the final code that implements a given simulation model.
The obtained advantages are amplified when simulation models are developed according to model-driven engineering principles and techniques. In such a case, the source system is typically described by models specified in a language that is not simulation-specific (e.g., UML) and thus model-driven engineering approaches can be exploited both to fill the semantic gap between the source system model and the corresponding simulation model and to automate the generation of the final code that implements the simulation model.
A non–exhaustive list of topics of interest includes:
- model-driven simulation engineering processes
- domain specific languages for modeling and simulation
- model transformations for simulation model building
- model transformations for simulation model implementation
- model-driven engineering of distributed simulation systems
- relationship between metamodeling standards (e.g., MOF, Ecore) and distributed simulation standards (e.g., HLA, DIS)
- metamodels for simulation reuse and interoperability
- model-driven technologies for different simulation paradigms (discrete event simulation, multi agent simulation, sketch-based simulation, etc.)
- model-driven methods and tools for performance engineering of simulation systems
- simulation tools for model-driven software performance engineering
- model-driven technologies for simulation verification and validation
- model-driven technologies for data collection and analysis
- model-driven technologies for simulation visualization
To stimulate creativity, however, the workshop maintains a wider scope and invites interested researchers to present contributions that offer original perspectives on model-driven engineering of simulation systems.
